Ontologically-Oriented methods of integration of modular ERP systems

Proceedings of the Russian Conference on Digital Economy and Knowledge Management (RuDEcK 2020)

et al. 2020

Self Cite

Digital transformation and information integration provide operational management of information and communication processes in many industries. The use of digital and telemedicine technologies in healthcare is particularly important. The article presents the directions of development of telecommunication projects in medicine and considers the main tools and applications for creating an automated medical history in a digital environment. The methods of intellectual support of complex test solutions for the electronic medical history in the field of teleneurology are described. The methods of knowledge representation in telemedicine systems using rule-templates are considered. It is noted that the rule base can accelerate the comparison of patient data and the development of diagnostic hypotheses, providing data search and their distribution into separate groups in accordance with the context of a particular medical problem. The authors note that the stage of conceptual analysis or structuring of knowledge is traditionally (along with the extraction stage) a "bottleneck" in the life cycle of developing intelligent decision support systems. The development of intellectual support systems for integrated test solutions in the field of neurology belongs to this class of complex systems, since they have the main signs of complexity (hierarchy of concepts, intra-element and inter-element communication, etc.). The complexity of designing such systems is determined mainly by the complexity of subject areas, as well as the complexity of describing the behavior of individual subsystems.

“…Typing (allocation of concept classes with partial inheritance of properties in subclasses). 5. Modularity (dividing a task into sub-tasks or "possible worlds").…”

Section: Development Of Tools For Knowledge Representation and Decision Making Usingmentioning

confidence: 99%

“…The authors note the possibility of using ontological support tools to integrate decision making [5].…”

Section: Introductionmentioning

confidence: 99%

Digitalization in Healthcare and Telecommunication Support Systems in Medicine

Kukhtevich¹,

Goryunova²,

Proceedings of the Russian Conference on Digital Economy and Knowledge Management (RuDEcK 2020)

et al. 2020

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“…The main thing here is the emergence of a special resource -Big Data and the possibility of their analysis and construction based on semantic technologies and end-to-end business processes. Big data is practically unlimited, coming from different sources, describing dissimilar objects in various sign and ontological systems, appearing and existing in real time [3]. For example, data on the dynamics of requests for specific medicines in online pharmacies can be used to predict seasonal diseases and, accordingly, plan stocks of medicines.…”

Section: Introductionmentioning

confidence: 99%

Medical Decision Support Systems and Semantic Technologies in Healthcare

Kukhtevich¹,

Goryunova²,

Proceedings of the Russian Conference on Digital Economy and Knowledge Management (RuDEcK 2020)

et al. 2020

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The support system for making medical decisions is a dynamically developing knowledge base at the intersection of medical sciences, medical institutions, doctors, etc. The knowledge base should be replenished, as clinical cases, recommendations, and treatment algorithms are being improved. In addition, in the current situation there is a clear trend towards personalized medicine, which will be the most productive. The article discusses the aspects of using medical decision support systems in the practice of medical organizations. The necessity of using the Unified State Health Information System is emphasized. The aspects of standardization of medical information systems and the use of ontologies, which are open standards for the description of the semantic components of the treatment process, are noted. LOD technology specifications are given. The possibility of combining distributed semantic repositories created by various organizations (health authorities, medical organizations, research centers, etc.) into a single network is noted. The possibility of using UMLS for the development of information retrieval systems, for registration of patients, to facilitate communication between various systems that analyze biomedical information is being considered. The task of the near future is to develop a medical information system as an intellectual physician assistant, including the introduction of clinical guidelines, automatic quality control of medical care and other areas that can significantly improve the quality of medical care and reduce the number of medical errors. Three groups of criteria for the quality of the doctor's activity are defined: semantic, temporary and effective. It is noted that the widespread use and constant replenishment of modern clinical knowledge is based primarily on clinical recommendations. The experience of using the register for stroke is presented and the results of clinical recommendations tested in practical public health in the field of neurology are taken into account.

Integrated platform solutions and quality management in the planning and organization of production processes

Lukinova

2019

J. Phys.: Conf. Ser.

The article deals with the task of coordinating digital and industrial platforms in the context of interaction between the subjects of the digital economy. Digital transformation should occur against the background of the systematic introduction of modern corporate governance methods, including: investment management, project management, financial management, personnel management, knowledge management, etc. The authors clarify the possibility of using ontologically oriented intellectual methods to support planning and organization of production processes. The article shows that the use of intelligent methods in building platform solutions begins with identifying, classifying and describing the main processes of an enterprise, establishing their sequence and interconnection. The authors propose ontologically oriented methods for coordinating the management and planning of production processes. The models are presented of production data support scenarios in accordance with the requirements of business processes. In addition, in addition to the production process scenarios, the solution includes a set of typical user access scenarios and basic data transfer services by experts.